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Technical ENSO Update
16 December 2010
Current Conditions
As of mid-December 2010, SSTs continue to indicate moderate to strong La
Niña conditions in the central and eastern equatorial Pacific.
For November the SST anomaly in the NINO3.4 region was -1.45 C, indicative of
moderate to strong La Niña conditions, and for
the September-November season the anomaly was -1.53 C.
Currently the IRI's definition of El Niño conditions rests on an
index of SST anomalies, averaged over the NINO3.4 region (5S-5N; 170W-120W),
exceeding the warmest 25%-ile of the historical distribution, and
similarly for La Niña relative to the 25%-ile coldest conditions
in the historical distribution. The NINO3.4 anomaly necessary to
qualify as La Niña or El Niño conditions for the
Dec-Jan-Feb and the Jan-Feb-Mar seasons are approximately (-0.65C,
0.65) and (-0.55, 0.50), respectively.
Expected Conditions
The most recent weekly SST anomaly in the NINO3.4 region is -1.5
C indicating moderate to strong La Niña
conditions in the tropical Pacific; this is approximately the same as the -1.45 C level
observed in November. What is the outlook for the ENSO status going forward? December is
a time of the year during which the observed ENSO state usually indicates the ENSO conditions
to be expected into the first one to three months of
the following year, and, if there is an ENSO event in progress (as is currently
the case) that event is typically peaking in strength and perhaps even starting
to decrease slightly. One might ask whether
the current La Niña condition is therefore guaranteed to persist
over the coming several months, and whether it would be expected to begin weakening
in the coming one or two months. A clue to the answers lies
in the moderate strength and extent of negative subsurface sea temperature
anomalies at depth in the central and eastern Pacific, whose upper portion
has encompassed the surface waters since approximately mid-June. The subsurface
negative heat content anomaly has slightly decreased from one to two months ago,
but is still substantial. Sea temperature anomalies below
the surface often portend SST anomalies to be expected in the
following few months, as they are subject to the climatological upwelling in the eastern
part of the basin. Current low-level wind anomalies indicate much enhanced trades,
especially in the western and west-central portion of the tropical Pacific,
and very strongly positive traditional and equatorial SOI indices. These atmospheric
features imply above-average upwelling activity in the eastern tropical Pacific,
at least for the near term, and suggest that the negative subsurface sea temperature
anomalies will likely continue to find their way to the surface during the
coming few months. The continued surfacing of below-average subsurface waters implies
a likelihood for continuation of the strength of the currently moderate to
strong La Niña conditions, although additional cooling appears
unlikely at this point as we are near or even just past the usual time of peak
strength. In view of the steady strength of the negative anomalies of the east-central
tropical Pacific SSTs, we may have already seen the peak strength in October, but
there could just as likely be a continuation of the currently moderate to strong SST
anomaly level as there could be a slow decrease in their strength during the coming
month. Above-average subsurface waters exist in the western tropical Pacific, and
although they have been edging eastward during the last few months they do not appear
poised to displace the large volume of below-average water to their east for at least
a two or more months.
Presently, the models and observations taken together indicate
probabilities of approximately 98% for maintaining La Niña conditions, near
2% for returning to ENSO-neutral conditions, and nearly 0% for developing
El Niño conditions during the Dec-Feb 2010/11 season in
progress. Going forward, probabilities for La Niña continue at 94% or greater
through Jan-Mar 2011.
In northern spring 2011 the probabilities for La Niña begin to weaken
at a faster rate, declining to about 64% by Mar-May and to 43% for
Apr-Jun.
The above assessment was made in part on the basis of an
examination of the current predictions of ENSO prediction models as well
as the observed conditions. For purposes of this
discussion, El Niño SST conditions are defined
as SSTs in the NINO3.4 region being in the warmest 25% of their
climatological distribution for the 3-month period in question over the
1950-present timeframe. The corresponding cutoff in terms of degrees C
of SST anomaly varies seasonally, being close to 0.40 degrees C in
boreal late-spring to early-summer season and as high as 0.75 degrees C
in late boreal autumn. La Niña conditions are defined as
NINO3.4 region SSTs being in the coolest 25% of the climatological
distribution. Neutral conditions occupy the remaining 50% of the
distribution. These definitions were developed such that the most
commonly accepted El Niño and La Niña episodes are
reproduced.
The models show unanimous agreement regarding the continuation of
La Niña conditions into the earliest months
of 2011, but vary somewhat in their predictions of the rate of decreasing
strength starting from Feb-Apr season.
Most statistical and dynamical models call for at least moderate La
Niña strength (stronger than -1C) through the Jan-Mar season,
and all models except for one (of 22) indicate a waning of strength
during Jan-Mar relative to the initial Dec-Feb season.
For the Dec-Feb, Jan-Mar and Feb-Apr seasons, 100% of the models
are predicting La Niña conditions, while none predicts ENSO-neutral
conditions. From Mar-May onward, some models begin indicating
a return to neutral ENSO conditions, but not to the point of being
a majority until late northern spring and early summer. By Jun-Aug,
a few models call for weak to moderate El Niño conditions.
At lead times of 4 or more months into the future, statistical and dynamical
models that incorporate information about the ocean's observed subsurface thermal
structure generally exhibit higher predictive skill than those that do
not. Among models that do use subsurface temperature information,
3 of 12 (25%) predict ENSO-neutral SSTs for the May-Jul seasons,
7 of 12 (58%) predict La Niña conditions, and 2 of 12 (17%) predict
El Niño
conditions. (Note
1). (Note that La Niña conditions for May-Jul require
a NINO3.4 SST anomaly of -0.50 or stronger, and El
Niño conditions require 0.45 or stronger.) Caution is
advised in interpreting the distribution of model predictions as the
actual probabilities. At longer leads, the skill of the models
degrades, and skill uncertainty must be convolved with the
uncertainties from initial conditions and differing model physics,
leading to more climatological probabilities in the long-lead ENSO
Outlook than might be suggested by the suite of models.
Furthermore, the expected skill
of one model versus another has not been established using uniform
validation procedures, which may cause a difference in the true
probability distribution from that taken verbatim from the raw
model predictions.
An alternative way to assess the probabilities of the three
possible ENSO conditions is to use the mean of the predictions of all
models, and to construct a standard error function centered on that
mean. The standard error would be Gaussian in shape, and would have its
width determined by an estimate of overall expected model skill for the
season of the year and the lead time. Higher skill would result in a
relatively narrower error distribution, while low skill would result in
an error distribution with width approaching that of the historical
observed distribution. This method shows probabilities for La
Niña at near 100% for Dec-Feb and Jan-Mar,
remaining at 96% or more through Mar-May 2011.
(Note that the threshold for La Niña
weakens from approximately -0.65C to -0.40C between Dec-Feb
and Mar-May, due to the seasonality of the interannual variance).
The forecasters believe, however, that the Mar-May model-based probability may
be higher than it should be, due to a common model bias of persisting ENSO episodes
for too long a duration at the end of their typical seasonal cycle. Model
probabilities for La Niña are 51% for May-Jul, and decrease to
the climatological probability of 25% for Aug-Oct.
The same cautions mentioned above for the distribution of model predictions apply
to this alternative method of inferring probabilities, due to differing model
biases and skills. In particular, this approach considers only the
mean of the predictions, and not the range across the models, nor the
ensemble range within individual models.
The IRI's
probabilistic ENSO prediction takes into account the indications of
this set of models, the outcome of the standard error approach
described above, and additional factors such as the very latest
observations that may have developed after the initialization times of
some of the models. It indicates a 98% probability for La Niña
conditions in the Dec-Feb season in progress, and only slightly
less (94%) for Jan-Mar 2011.
Probabilities for neutral ENSO conditions rise from 2% in Dec-Feb
to 13% in Feb-Apr 2011, and to 45% by Apr-Jun.
The probabilities for a return to El Niño conditions remain at
very low levels from the present through early 2011, not exceeding
10% until Apr-Jun and reaching 23% by Jun-Aug.
See also:
Note 1 - Only models that
produce a new
ENSO prediction every month are included in the above statement.
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